Learning epsilon-optimal posted prices for a unit-demand buyer with independent values takes Theta-tilde(n/epsilon^2) samples, and O-tilde(n^2/epsilon^3) pricing queries suffice, with a matching ex-ante lower bound.
Generalization guarantees for multi-item profit maximization: Pricing, auctions, and randomized mechanisms
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Learning Optimal Posted Prices for a Unit-Demand Buyer
Learning epsilon-optimal posted prices for a unit-demand buyer with independent values takes Theta-tilde(n/epsilon^2) samples, and O-tilde(n^2/epsilon^3) pricing queries suffice, with a matching ex-ante lower bound.